Cresta

Staff Machine Learning Engineer at Cresta, focusing on building and scaling agentic AI systems, evaluating LLM agent performance, and architecting RAG pipelines for enterprise data. The role involves leading technical vision, designing multi-agent orchestration, and ensuring robustness, reliability, and cost-efficiency of LLM systems.

Senior Machine Learning Engineer role focused on building and scaling next-generation agentic AI systems and LLM-powered applications for the contact center. Responsibilities include designing agent workflows, RAG pipelines, multi-agent orchestration, and developing evaluation strategies for complex, non-deterministic systems. Requires strong expertise in LLMs, modern prompting techniques, and production deployment of ML systems.

AI Language Engineer to design, build, and enhance natural language systems for intelligent products and experiences in text and speech domains. This role involves linguistic insight, applied NLP expertise, and AI engineering execution, collaborating with product and engineering teams to translate language challenges into scalable AI solutions. Responsibilities include developing LLM workflows, NLP components (intent detection, entity recognition, RAG), ASR/TTS workflows, fine-tuning and evaluating models, analyzing model outputs, defining linguistic evaluation criteria, and driving R&D for speech and language systems. The role also involves data preprocessing, dataset creation, designing experiments, integrating models into production systems, building tooling for evaluation and monitoring, supporting optimization and infrastructure, and collaborating cross-functionally.

Applied Data Scientist role focused on developing and shipping new AI-powered features for enterprise contact centers, working directly with customers to understand needs, iterate on solutions, and generalize learnings into productized capabilities. The role involves building LLM-based systems, curating evaluation guidelines and datasets, and staying current with AI/ML research.

Senior Forward Deployed Engineer role focused on developing, deploying, and optimizing AI agents for enterprise customers. This role involves system integration, performance tuning, customer collaboration, and providing technical guidance on AI agent adoption. Requires strong engineering skills, Python/Golang proficiency, and familiarity with LLMs, prompt engineering, RAG, and cloud/DevOps practices.

The Demo Engineering Manager will lead a team responsible for developing and maintaining AI-powered demo infrastructure and environments for Cresta's contact center platform. This role involves overseeing the architecture, scalability, and reliability of demo environments, driving the development of reusable demo frameworks, and championing the use of modern AI tooling like LLM workflows and agents to enhance demo realism. The manager will also guide the integration of new features into demo assets and collaborate with Product and Engineering to influence roadmap based on pre-sales learnings.

This role focuses on designing, developing, and maintaining scalable backend architectures for AI Agent solutions and proprietary models. The engineer will collaborate with ML engineers to integrate AI Agents, enhance system scalability and reliability, optimize server performance, and implement security measures. Experience with virtual/AI agent systems, cloud environments, Kubernetes, and databases is required.

Solutions Engineer role focused on partnering with sales to guide prospective customers through the discovery, design, and validation of Cresta's AI-powered solutions for contact centers. This involves understanding customer business goals and technical environments, architecting solutions using LLMs, SLMs, and real-time AI assistance, and delivering tailored product demonstrations and proof-of-value engagements. The role serves as a technical liaison between Sales, Product, and Engineering, staying current on emerging AI technologies like RAG and speech recognition.

Strategic Solutions Engineer at Cresta, a company focused on AI for contact centers. The role involves partnering with sales to understand customer needs, architect AI-powered solutions using LLMs, SLMs, and real-time AI, and lead technical discovery and proof-of-value engagements. Requires deep knowledge of contact center solutions and AI/ML technologies, with a focus on conversational AI and agent augmentation.